Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM

The uncertainty in polar cloud feedbacks calls for process understanding of the cloud response to climate warming. As an initial step toward improved process understanding, we investigate the seasonal cycle of polar clouds in the current climate by adopting a novel modeling framework using large edd...

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Published in:Journal of Advances in Modeling Earth Systems
Main Authors: Zhang, Xiyue, Schneider, Tapio, Shen, Zhaoyi, Pressel, Kyle G., Eisenman, Ian
Language:unknown
Published: 2022
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1847560
https://www.osti.gov/biblio/1847560
https://doi.org/10.1029/2021ms002671
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spelling ftosti:oai:osti.gov:1847560 2023-07-30T04:06:47+02:00 Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM Zhang, Xiyue Schneider, Tapio Shen, Zhaoyi Pressel, Kyle G. Eisenman, Ian 2022-04-22 application/pdf http://www.osti.gov/servlets/purl/1847560 https://www.osti.gov/biblio/1847560 https://doi.org/10.1029/2021ms002671 unknown http://www.osti.gov/servlets/purl/1847560 https://www.osti.gov/biblio/1847560 https://doi.org/10.1029/2021ms002671 doi:10.1029/2021ms002671 54 ENVIRONMENTAL SCIENCES 2022 ftosti https://doi.org/10.1029/2021ms002671 2023-07-11T10:10:27Z The uncertainty in polar cloud feedbacks calls for process understanding of the cloud response to climate warming. As an initial step toward improved process understanding, we investigate the seasonal cycle of polar clouds in the current climate by adopting a novel modeling framework using large eddy simulations (LES), which explicitly resolve cloud dynamics. Resolved horizontal and vertical advection of heat and moisture from an idealized GCM are prescribed as forcing in the LES. The LES are also forced with prescribed sea ice thickness, but surface temperature, atmospheric temperature, and moisture evolve freely without nudging. A semigray radiative transfer scheme without water vapor and cloud feedbacks allows the GCM and LES to achieve closed energy budgets more easily than would be possible with more complex schemes. This enables the mean states in the two models to be consistently compared, without the added complications from interaction with more comprehensive radiation. Furthermore, we show that the LES closely follow the GCM seasonal cycle, and the seasonal cycle of low-level clouds in the LES resembles observations: maximum cloud liquid occurs in late summer and early autumn, and winter clouds are dominated by ice in the upper troposphere. Large-scale advection of moisture provides the main source of water vapor for the liquid-containing clouds in summer, while a temperature advection peak in winter makes the atmosphere relatively dry and reduces cloud condensate. The framework we develop and employ can be used broadly for studying cloud processes and the response of polar clouds to climate warming. Other/Unknown Material Sea ice SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Journal of Advances in Modeling Earth Systems 14 1
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 54 ENVIRONMENTAL SCIENCES
spellingShingle 54 ENVIRONMENTAL SCIENCES
Zhang, Xiyue
Schneider, Tapio
Shen, Zhaoyi
Pressel, Kyle G.
Eisenman, Ian
Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM
topic_facet 54 ENVIRONMENTAL SCIENCES
description The uncertainty in polar cloud feedbacks calls for process understanding of the cloud response to climate warming. As an initial step toward improved process understanding, we investigate the seasonal cycle of polar clouds in the current climate by adopting a novel modeling framework using large eddy simulations (LES), which explicitly resolve cloud dynamics. Resolved horizontal and vertical advection of heat and moisture from an idealized GCM are prescribed as forcing in the LES. The LES are also forced with prescribed sea ice thickness, but surface temperature, atmospheric temperature, and moisture evolve freely without nudging. A semigray radiative transfer scheme without water vapor and cloud feedbacks allows the GCM and LES to achieve closed energy budgets more easily than would be possible with more complex schemes. This enables the mean states in the two models to be consistently compared, without the added complications from interaction with more comprehensive radiation. Furthermore, we show that the LES closely follow the GCM seasonal cycle, and the seasonal cycle of low-level clouds in the LES resembles observations: maximum cloud liquid occurs in late summer and early autumn, and winter clouds are dominated by ice in the upper troposphere. Large-scale advection of moisture provides the main source of water vapor for the liquid-containing clouds in summer, while a temperature advection peak in winter makes the atmosphere relatively dry and reduces cloud condensate. The framework we develop and employ can be used broadly for studying cloud processes and the response of polar clouds to climate warming.
author Zhang, Xiyue
Schneider, Tapio
Shen, Zhaoyi
Pressel, Kyle G.
Eisenman, Ian
author_facet Zhang, Xiyue
Schneider, Tapio
Shen, Zhaoyi
Pressel, Kyle G.
Eisenman, Ian
author_sort Zhang, Xiyue
title Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM
title_short Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM
title_full Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM
title_fullStr Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM
title_full_unstemmed Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM
title_sort seasonal cycle of idealized polar clouds: large eddy simulations driven by a gcm
publishDate 2022
url http://www.osti.gov/servlets/purl/1847560
https://www.osti.gov/biblio/1847560
https://doi.org/10.1029/2021ms002671
genre Sea ice
genre_facet Sea ice
op_relation http://www.osti.gov/servlets/purl/1847560
https://www.osti.gov/biblio/1847560
https://doi.org/10.1029/2021ms002671
doi:10.1029/2021ms002671
op_doi https://doi.org/10.1029/2021ms002671
container_title Journal of Advances in Modeling Earth Systems
container_volume 14
container_issue 1
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